Sreehari P.

About Sreehari P.

Data Quality Engineer - with experience in data analytics, data governance, and quality management. I specialize in transforming complex datasets into accurate, reliable, and actionable insights that enable data-driven decision-making and operational excellence.Currently working as a Data Quality Engineer at Data Radian Technologies Pvt Ltd, I lead quality assurance and governance initiatives for developed analytical models before they are promoted to production. My work involves validating model outputs, designing automated data quality frameworks, and ensuring compliance with governance standards. I actively work in Snowflake, implementing Data Metric Functions (DMFs) and custom stored procedures to automate quality checks. Additionally, I use dbt to write reusable macros and automated tests aligned with Data Vault 2.0 principles, ensuring structural integrity, consistency, and reliability across Data Vault models.Previously, I worked as a Senior Data Analyst at Quinte Financial Technologies, Inc, where I led key initiatives in the US banking domain. My contributions included refining governance and compliance strategies, developing Tableau-based transition matrices that reduced review time by over 60%, and leveraging Python automation to improve data extraction efficiency by up to 80%.My technical expertise includes SQL, Python (Pandas), Power BI, Tableau, Snowflake, and dbt, along with strong experience in data quality monitoring and governance frameworks. I hold a PG Diploma in Data and Business Analytics and am passionate about leveraging structured data practices to solve complex business problems and drive measurable impact.

Experience

1. Data Quality Analyst

   Data Radian Technologies

   Apr 2025 — Present · Hyderabad, IN

   Delivered data quality validation, testing, and certification support for enterprise data platform built on DataVault 2.0 architecture using Snowflake, SQL, and DBT to ensure trusted and decision-ready data products.• Performed end-to-end validation across Source → Raw Vault → Business Vault → Infomart → Tableau → Certified layer, ensuring data accuracy, completeness, and consistency across transformation and reporting layers.• Validated DataVault 2.0 models (Hubs, Links, Satellites, Business Vault, Infomart) by verifying key mapping, historization logic, and business rule transformations before certification approval.• Automated data quality checks using DBT macros, Jinja templates, and SQL validation scripts, improving QA efficiency and reducing manual effort during sprint cycles.• Conducted QA, UAT, and certification testing, reviewing DBT DEV / PR models, naming standards, and transformation logic to detect defects early and reduce rework.• Executed source-to-target validation, reconciliation testing, and transformation verification across Snowflake, DBT, Raw Vault, Business Vault, and Infomart layers.• Performed Tableau dashboard testing, including data source validation, extract refresh checks, KPI calculation validation, aggregation verification, filter/parameter testing, and reconciliation with Infomart and Business Vault data.• Validated reports using row-level comparison, metric validation, and cross-layer reconciliation to ensure dashboards reflect certified data.• Logged defects with SQL evidence in Jira / PR reviews, built reusable validation queries, and re-validated fixes to ensure no unresolved data quality issues move to production.• Worked in Agile sprint cycles handling parallel certification stories and automated validation tasks using Python, SQL, DBT, and Selenium, improving reliability of analytics pipelines.

Education

• Devamatha College, Kuravilangad-686633

  Bachelor of Science - BS, Physics

• Mahatma Gandhi University

  Postgraduate Diploma, Data and Business Analytics